Book contents
- Frontmatter
- Contents
- Acknowledgments
- List of Contributors
- Introduction
- PART ONE CAUSALITY
- PART TWO INTEGRATION AND COINTEGRATION
- 5 Spurious Regression in Econometrics
- 6 Some Properties of Time Series Data and Their Use in Econometric Model Specification
- 7 Time Series Analysis of Error Correction Models
- 8 Co-Integration and Error-Correction: Representation, Estimation, and Testing
- 9 Developments in the Study of Cointegrated Economic Variables
- 10 Seasonal Integration and Cointegration
- 11 A Cointegration Analysis of Treasury Bill Yields
- 12 Estimation of Common Long Memory Components in Cointegrated Systems
- 13 Separation in Cointegrated Systems and Persistent-Transitory Decompositions
- 14 Nonlinear Transformations of Integrated Time Series
- 15 Long Memory Series with Attractors
- 16 Further Developments in the Study of Cointegrated Variables
- PART THREE LONG MEMORY
- Index
9 - Developments in the Study of Cointegrated Economic Variables
Published online by Cambridge University Press: 06 July 2010
- Frontmatter
- Contents
- Acknowledgments
- List of Contributors
- Introduction
- PART ONE CAUSALITY
- PART TWO INTEGRATION AND COINTEGRATION
- 5 Spurious Regression in Econometrics
- 6 Some Properties of Time Series Data and Their Use in Econometric Model Specification
- 7 Time Series Analysis of Error Correction Models
- 8 Co-Integration and Error-Correction: Representation, Estimation, and Testing
- 9 Developments in the Study of Cointegrated Economic Variables
- 10 Seasonal Integration and Cointegration
- 11 A Cointegration Analysis of Treasury Bill Yields
- 12 Estimation of Common Long Memory Components in Cointegrated Systems
- 13 Separation in Cointegrated Systems and Persistent-Transitory Decompositions
- 14 Nonlinear Transformations of Integrated Time Series
- 15 Long Memory Series with Attractors
- 16 Further Developments in the Study of Cointegrated Variables
- PART THREE LONG MEMORY
- Index
Summary
INTRODUCTION
At the least sophisticated level of economic theory lies the belief that certain pairs of economic variables should not diverge from each other by too great an extent, at least in the long run. Thus, such variables may drift apart in the short run or according to seasonal factors, but if they continue to be too far apart in the long-run, then economic forces, such as a market mechanism or government intervention, will begin to bring them together again. Examples of such variables are interest rates on assets of different maturities, prices of a commodity in different parts of the country, income and expenditure by local government and the value of sales and production costs of an industry. Other possible examples would be prices and wages, imports and exports, market prices of substitute commodities, money supply and prices and spot and future prices of a commodity. In some cases an economic theory involving equilibrium concepts might suggest close relations in the long-run, possibly with the addition of yet further variables. However, in each case the correctness of the beliefs about long-term relatedness is an empirical question. The idea underlying cointegration allows specification of models that capture part of such beliefs, at least for a particular type of variable that is frequently found to occur in macroeconomics. Since a concept such as the long-run is a dynamic one, the natural area for these ideas is that of time-series theory and analysis.
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- Essays in EconometricsCollected Papers of Clive W. J. Granger, pp. 173 - 188Publisher: Cambridge University PressPrint publication year: 2001